%0 Journal Article
	%A Jinn-Yi Yeh and  Tai-Hsi Wu
	%D 2009
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 29, 2009
	%T A Decision Support System for Predicting Hospitalization of Hemodialysis Patients
	%U https://publications.waset.org/pdf/3884
	%V 29
	%X Hemodialysis patients might suffer from unhealthy
care behaviors or long-term dialysis treatments. Ultimately they need
to be hospitalized. If the hospitalization rate of a hemodialysis center
is high, its quality of service would be low. Therefore, how to decrease
hospitalization rate is a crucial problem for health care. In this study
we combined temporal abstraction with data mining techniques for
analyzing the dialysis patients' biochemical data to develop a decision
support system. The mined temporal patterns are helpful for clinicians
to predict hospitalization of hemodialysis patients and to suggest them
some treatments immediately to avoid hospitalization.
	%P 535 - 545